Mirage 2.0: fast and memory-efficient reconstruction of gene-content evolution considering heterogeneous evolutionary patterns among gene families.
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ABSTRACT: Summary
We present Mirage 2.0, which accurately estimates gene-content evolutionary history by considering heterogeneous evolutionary patterns among gene families. Notably, we introduce a deterministic pattern mixture (DPM) model, which makes Mirage substantially faster and more memory-efficient to be applicable to large datasets with thousands of genomes.Availability
The source code is freely available at https://github.com/fukunagatsu/Mirage.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Fukunaga T
PROVIDER: S-EPMC9364385 | biostudies-literature | 2022 Jun
REPOSITORIES: biostudies-literature
Publications
Mirage 2.0: fast and memory-efficient reconstruction of gene-content evolution considering heterogeneous evolutionary patterns among gene families.
Fukunaga Tsukasa T Iwasaki Wataru W
Bioinformatics (Oxford, England) 20220801 16
<h4>Summary</h4>We present Mirage 2.0, which accurately estimates gene-content evolutionary history by considering heterogeneous evolutionary patterns among gene families. Notably, we introduce a deterministic pattern mixture model, which makes Mirage substantially faster and more memory-efficient to be applicable to large datasets with thousands of genomes.<h4>Availability and implementation</h4>The source code is freely available at https://github.com/fukunagatsu/Mirage.<h4>Supplementary infor ...[more]
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